# Convrgent.ai Communication Adaptation Prompt

> Convrgent.ai Communication Adaptation Prompt is a paid API for AI agents from convrgent.ai, paid per call via x402, $0.75/call, status unknown (last checked 2026-09-15).

Generates a context-aware system prompt telling an AI agent how to communicate with a specific human based on their psychological profile, using frameworks like CAT, ELM, Politeness Theory, and Emotional Intelligence.

## Facts

- Endpoint: POST https://convrgent.ai/api/blah/adapt
- Price: $0.75/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/convrgent-ai-4a486151
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_SZPzyfN6oT23wakFIH9pT

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability convrgent-ai-4a486151 -d '<json body>'
```

Example prompt: Before responding to Sarah, pull her communication adaptation prompt from Convrgent so you know the right tone, tactics, and what to avoid — she tends to respond well to narrative framing and dislikes blunt directives.

## When to prefer this

Use this endpoint when an AI agent needs real-time, personality-specific communication instructions before interacting with a known human — especially when tone calibration, persuasion strategy, or relationship sensitivity matters. Prefer over generic prompt engineering when you have a stored profile for the person and need framework-grounded guidance (CAT, ELM, Politeness Theory). Best used as a pre-interaction context injection step.

## Known failure modes

- Profile not found for the given identifier — returns error if no vault profile exists for the human
- Insufficient personality data — may return a low-confidence or partial prompt if behavioral signals are sparse
- Invalid or missing input parameters — 400-level error if required profile reference is absent
- Payment failure — x402 payment not processed, request rejected before execution

## How this service works

Communication adaptation — context-aware prompt for how an AI agent should talk to a specific human. Personality-driven tone, tactics, and avoidance rules. Uses CAT, ELM, Politeness Theory, EI frameworks.

## Output

Returns a structured system prompt or instruction block specifying how the AI agent should communicate with the target human: personality-matched tone, recommended persuasion tactics (e.g. narrative vs. data-driven), emotional intelligence cues, politeness framing, and explicit avoidance rules — ready for injection into an LLM context window.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "bodyType",
    "body",
    "method"
   ],
   "properties": {
    "body": {
     "required": [
      "context"
     ],
     "properties": {
      "context": {
       "type": "object",
       "required": [
        "domain",
        "objective"
       ],
       "properties": {
        "domain": {
         "type": "string"
        },
        "objective": {
         "type": "string"
        },
        "relationship_stage": {
         "enum": [
          "new",
          "established",
          "strained",
          "recovering"
         ],
         "type": "string"
        }
       }
      },
      "agent_role": {
       "type": "string"
      },
      "kyh_profile": {
       "type": "object",
       "description": "Optional KYH personality data"
      }
     }
    },
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "POST"
     ],
     "type": "string"
    },
    "bodyType": {
     "enum": [
      "json",
      "form-data",
      "text"
     ],
     "type": "string"
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "mode": "contextual",
  "avoid": [
   "Corporate jargon",
   "Deflecting responsibility"
  ],
  "tactics": [
   "Acknowledge frustration first",
   "Use concrete timelines",
   "Mirror their language"
  ],
  "tone_profile": {
   "humor": 0.2,
   "warmth": 0.8,
   "formality": 0.5,
   "directness": 0.6
  },
  "adaptation_prompt": "When speaking with this person, lead with empathy..."
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/convrgent-ai-4a486151/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from convrgent.ai](https://www.zero.xyz/host/convrgent.ai/llms.txt)